Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2301.09604.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T11:09:11.605450Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-23T19:03:21.886288Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation 7e3be966-06b1-49f7-9546-9ddf38bf1776 · inbound
Tighter Performance Theory of FedExProx FedExP: Speeding Up Federated Averaging via Extrapolation
Reference 12
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 666dd3a5-33a7-4e21-bef1-8dad2e78cdee · inbound
Task Arithmetic Through The Lens Of One-Shot Federated Learning FedExP: Speeding Up Federated Averaging via Extrapolation
Reference 2018
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fa7832d0-210e-47fd-8e39-871ed5599f6c · inbound
FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields FedExP: Speeding Up Federated Averaging via Extrapolation
Reference 29
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d91d32d9-0699-4003-8a13-e62adbdc0c1b · inbound
Strategies for Improving Communication Efficiency in Distributed and Federated Learning: Compression, Local Training, and Personalization FedExP: Speeding Up Federated Averaging via Extrapolation
Reference 104
Source-reported events for the cited work
Unavailable: canonical work link unavailable.